Two-way coupled numerical simulation between outdoor thermal environment and PM2.5 in urban blocks

IF 7.6 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Building and Environment Pub Date : 2025-03-05 DOI:10.1016/j.buildenv.2025.112821
Meilin Wang , Hang Ma , Xing Zheng , Chun Han , Pengyuan Shen
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Abstract

While recent studies have explored the influence of outdoor thermal environment parameters on the dispersion of fine particulate matter (PM2.5), or conversely the impact of PM2.5 on urban thermal balance, integrated models that quantify the bidirectional feedback mechanisms between these factors are rarely discussed. This research developed a two-way coupled (TWC) numerical model that integrates the thermal environment and PM2.5 in urban blocks. The proposed model establishes the two-way interactions by coupling momentum exchange between PM2.5 and airflow speed using the discrete phase model (DPM) and the coupling heat balance between PM2.5 concentration and thermal radiation using the discrete ordinates (DO) model. The simulation results of the TWC model, validated against actual measurement data, yielded average coefficients of determination (R2) of 0.81 for air temperature, 0.73 for wind speed, and 0.79 for PM2.5 concentration. To evaluate the effectiveness of our model, we also constructed two "one-way coupled" models, which consider the unidirectional influence, and the traditional uncoupled model that neglects these interactions. Numerical simulation results indicated that the TWC model reduced the root mean square error (RMSE) of air temperature, wind speed, and PM2.5 concentration by 0.12 °C (0.28 %),0.02 m/s (89.67 %),2.74 μg/m3 (24.22 %) compared to the non-coupled model, respectively.
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城市街区室外热环境与 PM2.5 之间的双向耦合数值模拟
虽然最近的研究已经探讨了室外热环境参数对细颗粒物(PM2.5)扩散的影响,或者PM2.5对城市热平衡的影响,但量化这些因素之间双向反馈机制的综合模型却很少被讨论。本研究建立了城市街区热环境与PM2.5的双向耦合(TWC)数值模型。该模型采用离散相模型(DPM)建立PM2.5与风速之间的动量交换耦合,采用离散坐标模型(DO)建立PM2.5浓度与热辐射之间的热平衡耦合。TWC模型的模拟结果与实际测量数据进行了验证,得出气温、风速和PM2.5浓度的平均决定系数(R2)分别为0.81、0.73和0.79。为了评估模型的有效性,我们还构建了两个考虑单向影响的“单向耦合”模型,以及忽略这些相互作用的传统非耦合模型。数值模拟结果表明,与非耦合模式相比,TWC模式将气温、风速和PM2.5浓度的均方根误差(RMSE)分别降低0.12°C(0.28%)、0.02 m/s(89.67%)和2.74 μg/m3(24.22%)。
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来源期刊
Building and Environment
Building and Environment 工程技术-工程:环境
CiteScore
12.50
自引率
23.00%
发文量
1130
审稿时长
27 days
期刊介绍: Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.
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